<div class="show-more-less-html__markup show-more-less-html__markup--clamp-after-5 relative overflow-hidden"> At TUI, we’re on a mission to become the most digital, data-driven travel company in the world. Our Airline Data Science &amp; Analytics team plays a key role in that journey—delivering innovative data solutions and accelerating digital maturity across our global airline operations.<br/><br/>We’re looking for a Data Analyst who’s passionate about solving complex problems, uncovering insights, and driving business impact through data. If you’re a curious thinker, a strong collaborator, and thrive in a fast-paced, agile environment—this could be your next adventure.<br/><br/><strong>We are happy to consider this opportunity on a hybrid working model basis in line with local office attendance requirements</strong>. International travel should be expected so flexibility is required in this regard.<br/><br/>The role will be published until 1st May 2026.<br/><br/><strong>About Our Offer<br/><br/></strong><ul><li>Personal benefits: Attractive remuneration, discretionary bonus schemes, generous travel benefits, extensive health &amp; well-being support, and more.</li><li>Flexible working: Work is something you do, not somewhere you go. We encourage a healthy work-life balance with a dynamic working environment.</li><li>A career to shape: Access the TUI Learning Hub to level-up and reach your ambitions.</li><li>Broaden your network: We champion intercultural collaboration and provide opportunities to work on global projects and teams</li><li>Community: Get involved with incredible local charity and sustainability initiatives like the TUI Care Foundation.<br/><br/></li></ul><strong>About The Job<br/><br/></strong><ul><li>Collaborate with cross-functional teams to define business problems and translate them into analytical solutions.</li><li>Break down complex challenges, identify relevant data sources, and deliver high-quality data products and dashboards.</li><li>Dive deep into cloud databases and data pipelines to extract, transform, and analyse data using SQL and Python.</li><li>Present insights through compelling storytelling and data visualizations that drive decision-making.</li><li>Support the development of predictive models and machine learning solutions.</li><li>Automate recurring manual data tasks</li><li>Contribute to agile delivery by writing user stories, acceptance criteria, and participating in sprint planning.<br/><br/></li></ul><strong>About You<br/><br/></strong><ul><li>Strong analytical mindset and experience with large datasets and exploratory data analysis.</li><li>Proficiency in SQL and Python (Pandas, NumPy, Scikit-learn).</li><li>Solid understanding of statistical concepts and data modelling.</li><li>Experience with data visualization tools (e.g., Power BI, Tableau).</li><li>Familiarity with cloud data platforms and enterprise data warehouse structures.</li><li>Ability to communicate complex findings to both technical and non-technical stakeholders.</li><li>Hands-on experience in tools like Alteryx, Power Query, or other low-code/no-code data automation platforms is a plus</li><li>A good understanding of agile/lean software delivery methodology, tools and techniques and the software development lifecycle including knowledge of Scrum and Kanban</li><li>A continuous learner who thrives in ambiguity and takes ownership of their work.<br/><br/></li></ul>From a workplace to a place to belong. At TUI we embrace diversity, equity, and inclusion, encouraging everyone to come as you are, because together, our potential is limitless.<br/><br/>We are committed to supporting candidates with disabilities and impairments so if you require any support, please do let us know.<br/><br/><strong>Security Clearance Statement <br/><br/></strong>At TUI, safety is our top priority. We conduct thorough background checks on all employees who join our Airline. Rest assured; we’ll guide you on the necessary information you need to provide at each stage.<br/><br/>Please note that if you are applying for a role in the UK, <strong>you must ensure you can provide a full 5 years referencing, plus a criminal record check for all countries you’ve resided in for more than 6 months in the past 5 years </strong>(some costs may apply).<br/><br/> </div>